Mean Exit Times and the Multilevel Monte Carlo Method
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Desmond J. Higham | Xuerong Mao | Mikolaj Roj | Qingshuo Song | George Yin | G. Yin | D. Higham | X. Mao | Q. Song | Mikolaj Roj
[1] Alexander J. Triantis,et al. Valuing Flexibility as a Complex Option , 1990 .
[2] L. Szpruch,et al. Numerical simulation of a strongly nonlinear Ait-Sahalia-type interest rate model , 2011 .
[3] A. M. Hussain,et al. Multisensor distributed sequential detection , 1994 .
[4] Henry G. Overman,et al. A time to build , 2013 .
[5] Le Yi Wang,et al. Optimal Remapping in Dynamic Bulk Synchronous Computations via a Stochastic Control Approach , 2003, IEEE Trans. Parallel Distributed Syst..
[6] Frank Riedel,et al. On Irreversible Investment , 2006 .
[7] Michael I. Taksar,et al. Optimal risk and dividend distribution control models for an insurance company , 2000, Math. Methods Oper. Res..
[8] T. Müller-Gronbach. The optimal uniform approximation of systems of stochastic differential equations , 2002 .
[9] Stefan Heinrich,et al. Multilevel Monte Carlo Methods , 2001, LSSC.
[10] Jakša Cvitanić,et al. Hedging Contingent Claims with Constrained Portfolios , 1993 .
[11] Michael B. Giles,et al. Multilevel quasi-Monte Carlo path simulation , 2009 .
[12] D. J. Bedingham,et al. State reduction dynamics in a simplified QED model , 2008, 0808.4098.
[13] Heinrich Meyr,et al. A Simple Method for Evaluating the Probability Density Function of the Sample Number for the Optimum Sequential Detector , 1987, IEEE Trans. Commun..
[14] E. Gobet,et al. Stopped diffusion processes: Boundary corrections and overshoot , 2007, 0706.4042.
[15] H. Kushner. Numerical Methods for Stochastic Control Problems in Continuous Time , 2000 .
[16] Desmond J. Higham,et al. Analysing multi-level Monte Carlo for options with non-globally Lipschitz payoff , 2009, Finance Stochastics.
[17] P. Kloeden,et al. Numerical Solution of Stochastic Differential Equations , 1992 .
[18] M. Brelot. Classical potential theory and its probabilistic counterpart , 1986 .
[19] X. Mao,et al. Stochastic Differential Equations and Applications , 1998 .
[20] Marga Peeters,et al. Time-To-Build , 1995 .
[21] P. Glasserman,et al. Monte Carlo methods for security pricing , 1997 .
[22] Leif Andersen. A Simple Approach to the Pricing of Bermudan Swaptions in the Multi-Factor Libor Market Model , 1999 .
[23] J. Hammersley,et al. Monte Carlo Methods , 1965 .
[24] M. Giles. Improved Multilevel Monte Carlo Convergence using the Milstein Scheme , 2008 .
[25] E. Gobet,et al. Exact approximation rate of killed hypoelliptic diffusions using the discrete Euler scheme , 2004 .
[26] Jan M. Maciejowski,et al. Simulation‐based Bayesian optimal design of aircraft trajectories for air traffic management , 2010 .
[27] Emmanuel Gobet,et al. Discrete Sampling of Functionals of Ito Processes , 2007 .
[28] Riccardo Mannella,et al. Absorbing boundaries and optimal stopping in a stochastic differential equation , 1999 .
[29] P. Bassanini,et al. Elliptic Partial Differential Equations of Second Order , 1997 .
[30] A. Gallant,et al. ESTIMATION OF CONTINUOUS-TIME MODELS FOR STOCK RETURNS AND INTEREST RATES , 1997, Macroeconomic Dynamics.
[31] Francis A. Longstaff,et al. Valuing American Options by Simulation: A Simple Least-Squares Approach , 2001 .
[32] Yacine Ait-Sahalia. Testing Continuous-Time Models of the Spot Interest Rate , 1995 .
[33] Timothy G. Conley,et al. Short-term interest rates as subordinated diffusions , 1997 .
[34] Xia Su,et al. On irreversible investment , 2006, Finance Stochastics.
[35] Michael B. Giles,et al. Multilevel Monte Carlo Path Simulation , 2008, Oper. Res..
[36] Allen M. Weiss,et al. Investment in technological innovations: An option pricing approach , 1997 .
[37] LUKASZ SZPRUCH,et al. Comparing Hitting Time Behavior of Markov Jump Processes and Their Diffusion Approximations , 2010, Multiscale Model. Simul..
[38] M. V. Tretyakov,et al. Stochastic Numerics for Mathematical Physics , 2004, Scientific Computation.
[39] K. A. Cliffe,et al. Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients , 2011, Comput. Vis. Sci..
[40] Paul Glasserman,et al. Monte Carlo Methods in Financial Engineering , 2003 .
[41] Andrea Barth,et al. Multi-level Monte Carlo Finite Element method for elliptic PDEs with stochastic coefficients , 2011, Numerische Mathematik.